Evidence map›Paper›PMID 28387244›Full record

ArticleScientific reports2017

The apoptotic mechanisms of MT-6, a mitotic arrest inducer, in human ovarian cancer cells.

Mei-Chuan Chen, Yi-Chiu Kuo, Chia-Ming Hsu, Yi-Lin Chen, Chien-Chang Shen, Che-Ming Teng, Shiow-Lin Pan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 97% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Mei-Chuan ChenPh.D. Program for the Clinical Drug Discovery from Botanical Herbs, College of Pharmacy, Taipei Medical University, Taipei, Taiwan.
Yi-Chiu KuoPharmacological Institute, College of Medicine, National Taiwan University, Taipei, Taiwan.
Chia-Ming HsuPh.D. Program for Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Yi-Lin ChenPh.D. Program for Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Chien-Chang ShenNational Research Institute of Chinese Medicine, Ministry of Health and Welfare, Taipei, Taiwan.
Che-Ming TengPharmacological Institute, College of Medicine, National Taiwan University, Taipei, Taiwan.
Shiow-Lin PanPh.D. Program for Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Taipei Medical University · TWNational Taiwan University · TWMinistry of Health and Welfare · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with ovarian cancer are typically diagnosed at an advanced stage, resulting in poor prognosis since there are currently no effective early-detection screening tests for women at average-risk for ovarian cancer. Here, we investigated the effects of MT-6, a derivative of moscatilin, in ovarian cancer cells. Our investigation showed that MT-6 inhibited the proliferation and viability of ovarian cancer cells with submicromolar IC

Indexed as

AnimalsApoptosisApoptosis Regulatory ProteinsBenzyl CompoundsBiomarkers, TumorCell Cycle CheckpointsCell Line, TumorCell ProliferationEnzyme ActivationFemaleHumansJNK Mitogen-Activated Protein KinasesMembrane Potential, MitochondrialMice, NudeMitosisOvarian NeoplasmsApoptosis Regulatory ProteinsBenzyl CompoundsBiomarkers, TumordendrophenolJNK Mitogen-Activated Protein KinasesReceptors, Death Domain

Identifiers

PMID28387244
PMCPMC5384015
OpenAlexW2604204017

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.